Alternatives and similar repositories for fpp3_slides:

Users that are interested in fpp3_slides are comparing it to the libraries listed below

• frankiethull / Practical-Guide-to-Applied-Conformal-Prediction-in-R
  Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…
  ☆42Updated last year
• robjhyndman / fpp3
  All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …
  ☆142Updated 7 months ago
• business-science / modeltime.gluonts
  GluonTS Deep Learning with Modeltime
  ☆41Updated last year
• AlbertoAlmuinha / boostime
  The Tidymodels Extension for Time Series Boosting Models
  ☆57Updated 2 years ago
• PacktPublishing / Hands-On-Time-Series-Analysis-with-R
  Hands-On-Time-Series-Analysis-with-R
  ☆115Updated 2 years ago
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 5 years ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 4 months ago
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆25Updated 2 years ago
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆18Updated 3 years ago
• danigiro / FoReco
  Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…
  ☆33Updated 3 months ago
• cran-task-views / TimeSeries
  CRAN Task View: Time Series Analysis
  ☆23Updated this week
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆130Updated 4 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆35Updated last month
• pridiltal / ctv-AnomalyDetection
  CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒
  ☆109Updated last month
• Nixtla / nixtlar
  R SDK for TimeGPT
  ☆35Updated 2 months ago
• business-science / modeltime.ensemble
  Time Series Ensemble Forecasting
  ☆78Updated 9 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated last year
• robjhyndman / forecasting_workshop
  ☆16Updated last year
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 3 years ago
• henckr / distRforest
  R implementation for random forests with distribution-based loss functions
  ☆24Updated 5 years ago
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆173Updated 5 months ago
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆167Updated 2 years ago
• robjhyndman / ETC3580
  Teaching materials for ETC3580
  ☆25Updated 6 years ago
• AlbertoAlmuinha / garchmodels
  The Tidymodels Extension for GARCH models
  ☆34Updated 2 years ago
• ahaeusser / echos
  Echo State Networks for Time Series Forecasting
  ☆16Updated 2 months ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• actuarial-data-science / CourseDeepLearningWithActuarialApplications
  Material for the 2-day block course "Deep Learning with Actuarial Applications in R"
  ☆35Updated 3 years ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• rjdverse / rjdemetra
  R interface to JDemetra+ v 2.x
  ☆55Updated last month
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆74Updated last week